Recent results for obstacle detection by Cellular Neural Networks (CNN)

G. Geis; D. Feiden; R. Tetzlaff

doi:10.1117/12.608591

29 June 2005 Recent results for obstacle detection by Cellular Neural Networks (CNN)

G. Geis, D. Feiden, R. Tetzlaff

Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.608591
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain

Abstract

In this contribution new results in the field of video processing regarding the problem of obstacle detection will be presented. Video sequences obtained from a camera mounted in a driving car are used as the input to a CNN and different templates are applied to extract multiple features from video sequences. Thereby, CNN with nonlinear weight functions have been considered allowing a reliable feature extraction. A detailed discussion of the algorithms and obtained results will be given in this paper.

Citation Download Citation

G. Geis, D. Feiden, and R. Tetzlaff "Recent results for obstacle detection by Cellular Neural Networks (CNN)", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.608591

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